Towards Data Science

MAY 11, 2023

Following along the article, you’ll find simple code snippets in Python that illustrate how each principle can be adhered to or broken. Refer to the code snippet below as an example where code (behavior) is separated from data (facts/information).

Programming 91

Programming Python Data Schemas Java 91

DataKitchen

JUNE 19, 2023

Data Journeys run on software, on servers, and with code. Using automated data validation tests, you can ensure that the data stored within your systems is accurate, complete, consistent, and relevant to the problem at hand. Start checking data at rest with a strong data profile. They can break.

Data 52

Data Data Validation Utilities High Quality Data 52

Monte Carlo

FEBRUARY 6, 2023

But in reality, a data warehouse migration to cloud solutions like Snowflake and Redshift requires a tremendous amount of preparation to be successful—from schema changes and data validation to a carefully executed QA process. What’s more, issues in the source data could even be amplified by a new, sophisticated system.

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

Monte Carlo

JANUARY 25, 2023

That being said, it tends to be much easier to reprocess data in the data warehouse when we do find bad records, whereas that might not be possible in a streaming environment. Definition of data contracts Similar to contracts in production services, contracts in the warehouse should be implemented in code and version controlled.

Data Warehouse 52

Data Warehouse Data High Quality Data Metadata 52

ProjectPro

JANUARY 31, 2023

A user-defined function (UDF) is a common feature of programming languages, and the primary tool programmers use to build applications using reusable code. Enriching data entails connecting it to other related data to produce deeper insights. Listed below are the most common big data interview questions based on Python.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 40